ImRheo provides a new technique to measure the mechanical properties of soft materials, based on image processing and artificial intelligence.
ImRheo’s goal is to develop a cheaper and simpler rheometer, which can be used for applications in food (foams, emulsions, colloids, etc.), cosmetics (gels, creams, foams, etc.), constructions engineering (concrete), petroleum (waxy oil), coating (paints), bioengineering (bioprinters, saliva testing), etc.
The team of physicists and computer scientists uses the discoveries of the past eight years on the flow of rheological materials, and will design software that uses a physics-informed Machine Learning algorithm to measure the rheological properties of liquids (elasticity, plasticity, and viscosity) only with imaging. The goals for this project have been set together with companies active in these application areas.
Location: @Science Park
Mobile molecular visualization for the future of educators and researchers Molecules are three dimensional, blackboards and projectors are two dimensional. We aim to help educators and researchers visualize molecules in three dimensions by visualizing the structures in VR, all from the convenience of their mobile device.
Firefly Quantum is making optical circuits as easy as electonic circuits. In electronics the printed circuit board provides a low-cost, high-performance route to market for custom circuit designs. This essential link between breadboards and integrated circuits is missing for optics. The way optical circuits are built hasn’t significantly changed in 50 years. Students, researchers and […]
Breath sensors for pre-symptomatic disease detection We are developing a non-invasive breath sensor for cows, for the early detection of illnesses well before observable symptoms. With automated and continuous monitoring, this would enable timely and precise feed adjustments by farmers to stop sickness progression. The technology is derived from extremely sensitive laser-based techniques enabling the […]